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Curriculum Vitae Francisco J. Aragón Artacho March 2021

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Curriculum Vitae Francisco J. Aragón Artacho March 2021 CURRICULUM VITAE FRANCISCO J. ARAGÓN ARTACHO MARCH 2021 PERSONAL DATA Name: Francisco Javier Aragón Artacho Date of birth: 20/04/1979 E-mail: [email protected] Web page: https://sites.google.com/site/franaragon/ MR Author ID: 809646 ORCID: 0000-0002-2445-8011 ResearcherID: C-2531-2012 Scopus: 16021226200 CURRENT PROFESSIONAL SITUATION Professional position: Profesor Titular de Universidad (equivalent to Associate Professor) Starting date: 01/09/2020 Organization: Universidad de Alicante Center: Facultad de Ciencias Department: Matemáticas Situation: Permanent Commitment: Full time EDUCATION 1997–2002 Graduate in Mathematical Sciences, University of Alicante, Spain. 2002–2004 D.E.A. (Diploma of Advanced Studies) in Mathematical Analysis, University of Murcia, Spain. 2002–2007 Ph.D. in Mathematics, University of Murcia, Spain. Thesis: “On Metric Regular- ity of Mappings in Optimization”, awarded “Sobresaliente Cum Laude” (highest mark) and European Mention. Thesis advisors: Prof. Asen L. Dontchev and Prof. Marco Antonio López Cerdá. POSTDOCTORAL RESEARCH EXPERIENCE 2008–2011 Postdoc (Juan de la Cierva Fellow by the Ministerio de Ciencia e Innovación - Spain), University of Alicante, Spain. 2011–2013 Research Associate, The University of Newcastle, Australia. 2013–2014 Postdoc (AFR Postdoctoral Fellow by the Fonds National de la Recherche - Lux- embourg), Luxembourg Centre for Systems Biomedicine, Luxembourg. 2014–2020 Ramón y Cajal Fellow by the Ministerio de Economía y Competitividad, Univer- sity of Alicante, Spain. 2020– Senior Researcher, Department of Mathematics, University of Alicante, Spain. 2 TEACHING EXPERIENCE 2008–2009 Optimización, 5th year course at the “Licenciatura en Matemáticas” (Degree in Mathematics), University of Alicante, 1.5 credits (15 hours). 2009–2010 Matemáticas, 1st year course at the “Diplomatura en Óptica y Optometría” (De- gree in Optics and Optometry), University of Alicante, 4.5 credits (45 hours). 2010–2011 Programas de cálculo científico y procesamiento de textos, 1st Grado en Mate- máticas, University of Alicante, 8 credits (80 hours). 2015–2017 Programación lineal, 2nd year at the “Grado en Matemáticas”, University of Ali- cante, 2.4 credits (24 hours). Optimización II, 3rd year at the “Grado en Matemáticas”, University of Alicante, 3.6 credits (36 hours). 2017– Optimización II, 3rd year at the “Grado en Matemáticas”, University of Alicante, 7.2 credits (72 hours). BUSINESS EXPERIENCE Aug. 2007–Apr. 2008 Portfolio Valuation Analyst, Multigestión Iberia S.A., Madrid, Spain. Aug. 2007 Analyst Training in Domusvenda, Lisbon, Portugal. Sep. 2007 Analyst Training in GFKL, Essen, Germany. LANGUAGES Spanish (mother language), English (fluent), French (fluent) and German (beginner). FIELDS OF INTEREST • Set-Valued and Variational Analysis • Optimization • Convex Analysis • Splitting Algorithms and Projection Methods • Metric Regularity • Computational Optimization PHD STUDENTS • Rubén Campoy, January 20–December 2018. PhD in Mathematics by the University of Murcia. Thesis “Contributions to the Theory and Applications of Projection Algorithms”. Awarded “Sobresaliente Cum Laude” (highest mark) and International Mention. Cur- rently, he is a Research Associate at the University of Massachusetts Lowell (USA). • David Torregrosa, since September 2020. EDITORIAL BOARD • Fixed Point Theory (since 2021). • Journal of Nonsmooth Analysis and Optimization (since 2019). 3 GUEST EDITOR • Set-valued and Variational Analysis (special issue in honor of Michel Théra): Volume 25, Issue 3: https://link.springer.com/journal/11228/25/3 Volume 25, Issue 4: https://link.springer.com/journal/11228/25/4 REVIEWER FOR MathSciNet, Mathematical Programming, SIAM Journal on Optimization, SIAM Journal on Con- trol and Optimization, Computational Optimization and Applications, Journal of Optimization Theory and Applications, Journal of Global Optimization, Optimization Letters, Mathematics of Operations Research, Set-Valued and Variational Analysis, Journal of Mathematical Analysis and Applications, Applied Mathematics and Optimization, Journal of Convex Analysis, Nonlin- ear Analysis, Rendiconti del Circolo Matematico di Palermo, Revista de la Real Academia de Ciencias Exactas Físicas y Naturales, Positivity, Serdica Mathematical Journal, Pure and Applied Functional Analysis. BOOKS 1. F.J. ARAGÓN, M.A. GOBERNA, M.A. LÓPEZ, M.M.L. RODRÍGUEZ: Nonlinear Optimiza- tion. Springer Undergraduate Texts in Mathematics and Technology (2019). DOI: 10.1007/978-3-030-11184-7 RESEARCH PAPERS ACCEPTED OR PUBLISHED 1. F.J. Aragón Artacho, R. Campoy, P.T. Vuong: Using positive spanning sets to achieve d- stationarity with the Boosted DC Algorithm. Vietnam J. Math. 48, 363–376 (2020). DOI: 10.1007/s10013-020-00400-8 2. F.J.ARAGÓN ARTACHO, R. CAMPOY, M.K. TAM: The Douglas–Rachford algorithm for con- vex and nonconvex feasibility problems. Math. Methods Oper. Res. 91 (2020), 201–240. DOI: 10.1007/s00186-019-00691-9 3. F.J. ARAGÓN ARTACHO, P.T. VUONG: The Boosted Difference of Convex functions Algo- rithm for nonsmooth functions. SIAM J. Optim. 30 (2020), No. 1, 980–1006. DOI: 10.1137/18M123339X 4. F.J.ARAGÓN ARTACHO, R. CAMPOY, V. ELSER: An enhanced formulation for solving graph coloring problems with the Douglas–Rachford algorithm. J. Glob. Optim. 77 (2020), 383– 403. DOI: 10.1007/s10898-019-00867-x 5. M.AHOOKHOSH, F.J. ARAGÓN ARTACHO, R.M.T. FLEMING, P.T. VUONG: Local conver- gence of the Levenberg–Marquardt method under Hölder metric subregularity. Adv. Com- put. Math. 45 (2019), 2771–2806. DOI: 10.1007/s10444-019-09708-7 6. F.J.ARAGÓN ARTACHO, R. CAMPOY: Optimal rates of linear convergence of the averaged alternating modified reflections method for two subspaces. Numer. Algorithms 82 (2019), Issue 2, 397–421. DOI: 10.1007/s11075-018-0608-x 4 7. F.J. ARAGÓN ARTACHO, P. SEGURA MARTÍNEZ: Finding magic squares with the Douglas– Rachford algorithm. BEIO 35 (2019), No. 2, 106–128. http://www.seio.es/BBEIO/BEIOVol35Num2 8. F.J. ARAGÓN ARTACHO, Y. CENSOR, A. GIBALI: The cyclic Douglas–Rachford algorithm with r -sets-Douglas–Rachford operators. Optim. Methods Softw. 34 (2019), Issue 4, 875– 889. DOI: 10.1080/10556788.2018.1504049 9. F.J. ARAGÓN ARTACHO, R. CAMPOY: Computing the resolvent of the sum of maximally monotone operators with the averaged alternating modified reflections algorithm. J. Op- tim. Th. Appl. 181 (2019), No. 3, 709–726. DOI: 10.1007/s10957-019-01481-3 10. L.HEIRENDT, S. ARRECKX, [...] R.M.T. FLEMING: Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v. 3.0. Nature Protocols 14 (2019), 639– 702. DOI: 10.1038/s41596-018-0098-2 11. F.J. ARAGÓN ARTACHO, R. CAMPOY: Solving graph coloring problems with the Douglas– Rachford algorithm. Set-Valued and Variational Analysis 26 (2018), 277–304. DOI: 10.1007/s11228-017-0461-4 12. F.J.ARAGÓN ARTACHO, R.M.T. FLEMING, P.T. VUONG: Accelerating the DC algorithm for smooth functions. Mathematical Programming 169B (2018), No. 1, 95–118. DOI: 10.1007/s10107-017-1180-1 13. F.J. ARAGÓN ARTACHO, R. CAMPOY, I. KOTSIREAS, M.K. TAM: A feasibility approach for constructing combinatorial designs of circulant type. Journal of Combinatorial Optimiza- tion 35 (2018), No. 4, 1061–1085. DOI: 10.1007/s10878-018-0250-5 14. F.J.ARAGÓN ARTACHO, R. CAMPOY: A new projection method for finding the closest point in the intersection of convex sets. Comput. Optim. Appl. 69 (2018), No. 1, 99–132. DOI: 10.1007/s10589-017-9942-5 15. F.J.ARAGÓN ARTACHO, J.M. BORWEIN, M.K. TAM: Global behavior of the Douglas–Rach- ford method for a nonconvex feasibility problem. Journal of Global Optim. 65 (2016), Issue 2, 309–327. DOI:10.1007/s10898-015-0380-6 16. F.J.ARAGÓN ARTACHO, R.M.T. FLEMING: Globally convergent algorithms for finding ze- ros of duplomonotone mappings. Optimization Letters 9 (2015), No. 3, 569–584. DOI:10.1007/s11590-014-0769-z 17. F.J.ARAGÓN ARTACHO, J.M. BORWEIN, M.K. TAM: Douglas–Rachford feasibility methods for matrix completion problems, ANZIAM Journal 55 (2014), No. 4, 299–326. DOI:10.1017/S1446181114000145 18. F.J. ARAGÓN ARTACHO, J.M. BORWEIN, M.K. TAM: Recent Results on Douglas–Rachford Methods for Combinatorial Optimization Problems, Journal of Optimization Theory and Applications 163 (2014), Issue 1, 1–30. DOI: 10.1007/s10957-013-0488-0 19. F.J. ARAGÓN ARTACHO, J.M. BORWEIN, V. MARTÍN-MÁRQUEZ, L. YAO: Applications of Convex Analysis within Mathematics, Mathematical Programming 148B (2014), Issue 1-2, 49–88, DOI: 10.1007/s10107-013-0707-3 5 20. F.J. ARAGÓN ARTACHO, A. BELYAKOV, A.L. DONTCHEV, M. LÓPEZ: Local convergence of quasi-Newton methods under metric regularity, Comput. Optim. Appl. 58 (2014), No. 1, 225–247. DOI: 10.1007/s10589-013-9615-y 21. F.J.ARAGÓN ARTACHO, M.H. GEOFFROY: Metric subregularity of the convex subdifferen- tial in Banach spaces, Journal of Nonlinear and Convex Analysis 15 (2014), No. 1, 35–47. http://www.ybook.co.jp/online2/jncav15.html 22. F.J.ARAGÓN ARTACHO, D.H. BAILEY, J.M. BORWEIN, P.B. BORWEIN: Walking on real num- bers, The Mathematical Intelligencer 35 (2013), Issue 1, 42–60. DOI: 10.1007/s00283-012-9340-x 23. F.J. ARAGÓN ARTACHO, J.M. BORWEIN: Global convergence of a non-convex Douglas– Rachford iteration, Journal of Global Optimization 57 (2013), Issue 3, 753–769. DOI: 10.10 07/s10898-012-9958-4 24. F.J. ARAGÓN ARTACHO, J.M. BORWEIN, M.K. TAM: Recent Results on Douglas–Rachford Methods, Serdica Mathematical Journal 39 (2013), 313–330. http://www.math.bas.bg/serdica/2013/2013-313-330.pdf 25. F.J. ARAGÓN ARTACHO, M. GAYDU: A Lyusternik–Graves theorem for the proximal point method, Comput. Optim. Appl. 52 (2012), No. 3, 785–803. DOI: 10.1007/s10589-011-9439-6 26. F.J.ARAGÓN ARTACHO, A.L. DONTCHEV, M. GAYDU, M.H. GEOFFROY, V.M. VELIOV: Met- ric regularity of Newton’s iteration, SIAM Journal on Control and Optimization 49 (2011), No. 2, 339–362. DOI 10.1137/100792585 27. F.J.ARAGÓN ARTACHO, B.S.
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